activity
20152026
most citedSolving the Goddard problem by an influence diagram

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

econ.GN2026

An Anonymized Urn-Based Experimental Dataset on Decision-Making under Risk and Ambiguity

Václav Kratochvíl, Radim Jiroušek, Klára Šimůnková +1

This data paper describes an anonymized release derived from controlled behavioral experiments on decision-making under risk (known probabilities) and ambiguous uncertainty (partia…

math.CO2025

Graphical view on linear extensions of finite posets

Milan Studený, Václav Kratochvíl

One of the possible cryptomorphic definitions of a partially ordered set (= a poset) on a non-empty finite ground set is in terms of the set of all its linear…

math.CO2021

Facets of the cone of exact games

Milan Studený, Václav Kratochvíl

The class of exact transferable utility coalitional games, introduced in 1972 by Schmeidler, has been studied both in the context of game theory and in the context of imprecise pro…

cs.AI2017

Composition of Credal Sets via Polyhedral Geometry

Jiřina Vejnarová, Václav Kratochvíl

Recently introduced composition operator for credal sets is an analogy of such operators in probability, possibility, evidence and valuation-based systems theories. It was designed…

cs.AI2017★ 1 cited

Solving the Goddard problem by an influence diagram

Jiří Vomlel, Václav Kratochvíl

Influence diagrams are a decision-theoretic extension of probabilistic graphical models. In this paper we show how they can be used to solve the Goddard problem. We present results…

cs.AI2015★ 1 cited

Influence diagrams for the optimization of a vehicle speed profile

Václav Kratochvíl, Jiří Vomlel

Influence diagrams are decision theoretic extensions of Bayesian networks. They are applied to diverse decision problems. In this paper we apply influence diagrams to the optimizat…